Clip API MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Clip API through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Clip API, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Clip API MCP Server
Directly empower your intelligent agents with the Clip API, the undisputed champion of point-of-sale and card payment gateways across Mexico. Bypass clunky merchant dashboards by commanding 10 specialized financial tools built to execute transactions, force refunds, and reconcile bulk backend settlements securely through plain text.
The Vercel AI SDK gives every Clip API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Payment Link Generation — Programmatically spin up highly secure payment links instantly firing off collection demands mapped directly to specific user workflows without manual UI clicks.
- Transaction Auditing — Track pending authorizations scanning exact balances sniffing out potential fraud drops analyzing transaction statuses aggressively.
- Automated Reconciliations — Pull bulk settlement reports extracting clean matrices charting precisely when cash pipelines hit your registered banks.
- Inventory & Subscription — Manage deep catalog arrays syncing SKUs and dictating heavy recurring billing cycles charging Mexican cards passively.
The Clip API MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Clip API to Vercel AI SDK via MCP
Follow these steps to integrate the Clip API MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Clip API and passes them to the LLM
Why Use Vercel AI SDK with the Clip API MCP Server
Vercel AI SDK provides unique advantages when paired with Clip API through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Clip API integration everywhere
Built-in streaming UI primitives let you display Clip API tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Clip API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Clip API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Clip API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clip API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clip API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clip API through natural language queries
Clip API MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Clip API to Vercel AI SDK via MCP:
add_product_to_catalog
Add a new item to the Clip Point of Sale catalog
cancel_payment_link
Void an active payment link
create_payment_link
Generate a Clip payment link to charge customers via card
create_subscription_plan
Build a recurring billing cycle charging clients periodically
get_balance_summary
Retrieve cash balance awaiting settlement
get_settlement_reports
Fetch detailed historical settlement reports
get_transaction_status
Retrieve the status of a payment transaction
list_products_catalog
Pull the complete inventory catalog registered in Clip
list_terminals
List all registered physical POS Clip terminals
refund_transaction
Omit amount for full refund. Execute a full or partial refund for a settled transaction
Example Prompts for Clip API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Clip API immediately.
"Generate a new custom MXN payment link exactly for 450.50 referenced as invoice #X-99T."
"Refund the latest transaction specifically identified as Txn_88Z to its origin card fully."
"Calculate my comprehensive real cash balance available anticipating the incoming bulk settlements today blindly."
Troubleshooting Clip API MCP Server with Vercel AI SDK
Common issues when connecting Clip API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClip API + Vercel AI SDK FAQ
Common questions about integrating Clip API MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Clip API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clip API to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.